Agent skill
marine-offshore-engineering-app-1-fpso-prelim-design
Sub-skill of marine-offshore-engineering: Application 1: FPSO Preliminary Design (+1).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/engineering/marine-offshore/marine-offshore-engineering/application-1-fpso-preliminary-design
SKILL.md
Application 1: FPSO Preliminary Design (+1)
Application 1: FPSO Preliminary Design
fpso_design:
vessel:
hull:
type: "conversion" # or "newbuild"
length_pp: 320 # m
beam: 58 # m
depth: 32 # m
draft_design: 22 # m
capacity:
oil_storage: 2000000 # barrels
production: 100000 # bopd
water_injection: 200000 # bwpd
topsides:
modules:
- production_manifold
- separation
- gas_compression
- water_injection
- utilities
weight: 25000 # tonnes
mooring:
type: "spread"
lines: 12
configuration: "3x4" # 3 bundles, 4 lines each
design_codes:
- ABS MODU
- API RP 2FPS
- DNV-OS-C103
Application 2: Environmental Load Calculation
def calculate_total_environmental_load(
vessel_data: dict,
environment: dict
) -> dict:
"""
Calculate combined wind, wave, and current loads.
Args:
vessel_data: Vessel dimensions and coefficients
environment: Environmental parameters
Returns:
Total forces and moments
"""
import numpy as np
# Wind force
rho_air = 1.225 # kg/m³
V_wind = environment['wind_speed']
A_projected = vessel_data['frontal_area']
Cd_wind = vessel_data['wind_drag_coef']
F_wind = 0.5 * rho_air * V_wind**2 * Cd_wind * A_projected / 1000 # kN
# Wave drift force (simplified)
rho_water = 1025 # kg/m³
Hs = environment['wave_Hs']
F_wave_drift = 0.5 * rho_water * 9.81 * Hs**2 * vessel_data['waterplane_area'] / 1000
# Current force
V_current = environment['current_speed']
A_underwater = vessel_data['underwater_area']
Cd_current = vessel_data['current_drag_coef']
F_current = 0.5 * rho_water * V_current**2 * Cd_current * A_underwater / 1000
# Total horizontal force
theta_wind = np.radians(environment['wind_direction'])
theta_wave = np.radians(environment['wave_direction'])
theta_current = np.radians(environment['current_direction'])
Fx = (F_wind * np.cos(theta_wind) +
F_wave_drift * np.cos(theta_wave) +
F_current * np.cos(theta_current))
Fy = (F_wind * np.sin(theta_wind) +
F_wave_drift * np.sin(theta_wave) +
F_current * np.sin(theta_current))
return {
'Fx_kN': Fx,
'Fy_kN': Fy,
'F_total_kN': np.sqrt(Fx**2 + Fy**2),
'direction_deg': np.degrees(np.arctan2(Fy, Fx))
}
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